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Greatest papers with code

Deep EHR: Chronic Disease Prediction Using Medical Notes

Machine Learning for Health Care conference 2018 NYUMedML/DeepEHR

Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.

DISEASE PREDICTION

Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

31 Jan 2019mlmed/chester-xray

In order to bridge the gap between Deep Learning researchers and medical professionals we develop a very accessible free prototype system which can be used by medical professionals to understand the reality of Deep Learning tools for chest X-ray diagnostics.

DISEASE PREDICTION OUT-OF-DISTRIBUTION DETECTION

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

5 Jun 2018parisots/population-gcn

Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph.

CLASSIFICATION DISEASE PREDICTION

Spectral Graph Convolutions for Population-based Disease Prediction

8 Mar 2017parisots/population-gcn

We demonstrate the potential of the method on the challenging ADNI and ABIDE databases, as a proof of concept of the benefit from integrating contextual information in classification tasks.

DISEASE PREDICTION

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

10 May 2019cair/pyTsetlinMachine

In this paper, we apply a new promising tool for pattern classification, namely, the Tsetlin Machine (TM), to the field of disease forecasting.

DISEASE PREDICTION

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

NeurIPS 2018 mp2893/mime

Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using electronic health records (EHR) data, but these models typically require training data volume that exceeds the capacity of most healthcare systems.

DISEASE PREDICTION

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

25 Jan 2020astorfi/cor-gan

To demonstrate the model fidelity, we show that CorGAN generates synthetic data with performance similar to that of real data in various Machine Learning settings such as classification and prediction.

CLASSIFICATION DISEASE PREDICTION IMAGE CLASSIFICATION SYNTHETIC DATA GENERATION

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

22 May 2020ZhiGroup/Med-BERT

Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks.

DISEASE PREDICTION

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

13 Jun 2018GuansongPang/deep-outlier-detection

However, existing unsupervised representation learning methods mainly focus on preserving the data regularity information and learning the representations independently of subsequent outlier detection methods, which can result in suboptimal and unstable performance of detecting irregularities (i. e., outliers).

ANOMALY DETECTION DISEASE PREDICTION NETWORK INTRUSION DETECTION OUTLIER DETECTION UNSUPERVISED REPRESENTATION LEARNING